Zobrazeno 1 - 10
of 42
pro vyhledávání: '"Xiaomin TONG"'
Publikováno v:
环境与职业医学, Vol 41, Iss 3, Pp 323-329 (2024)
BackgroundThe active metabolite of benzo[a]pyrene (BaP), 7,8-dihydroxy-9,10-epoxybenzo[a]pyrene (BPDE), can form adducts with DNA, but the spectrum of BPDE-DNA adducts is unclear. ObjectiveTo identify the distribution of BPDE adduct sites and associa
Externí odkaz:
https://doaj.org/article/c2aee5bc4ee14c80bef019b0d55329c0
Publikováno v:
环境与职业医学, Vol 40, Iss 4, Pp 433-440 (2023)
BackgroundBenzo[a]pyrene (BaP) has neurotoxicity, which can induce the loss of hippocampal neurons in humans and animals and lead to spatial learning and memory dysfunction, but its mechanism is still unclear. ObjectiveTo observe the ferroptosis of m
Externí odkaz:
https://doaj.org/article/f4406a3d3f0e408fac7c8047058e5e44
Publikováno v:
IEEE Access, Vol 10, Pp 96016-96025 (2022)
A new homogeneous traction power supply scheme based on Vv wiring transformers and modular multilevel converters (MMC) is proposed, which due to address the electrical power quality problems and the negative effects of power splitting on locomotives
Externí odkaz:
https://doaj.org/article/52b0ab3b01b441f9980cc10b7f7d2163
Autor:
Hongyu Sun, Jin Yang, Xiaohui Li, Yi Lyu, Zhaomeng Xu, Hui He, Xiaomin Tong, Tingyu Ji, Shihan Ding, Chaoli Zhou, Pengyong Han, Jinping Zheng
Publikováno v:
Frontiers in Computational Neuroscience, Vol 16 (2022)
While Alzheimer's disease (AD) can cause a severe economic burden, the specific pathogenesis involved is yet to be elucidated. To identify feature genes associated with AD, we downloaded data from three GEO databases: GSE122063, GSE15222, and GSE1382
Externí odkaz:
https://doaj.org/article/3349018b28f6463e805369f3b22690e1
Publikováno v:
Sensors, Vol 15, Iss 8, Pp 18965-18984 (2015)
Heavy occlusions in cluttered scenes impose significant challenges to many computer vision applications. Recent light field imaging systems provide new see-through capabilities through synthetic aperture imaging (SAI) to overcome the occlusion proble
Externí odkaz:
https://doaj.org/article/e3f304d563d548d898b4bcbedda01ca5
Publikováno v:
Sensors, Vol 15, Iss 4, Pp 8214-8231 (2015)
With the wide development of UAV (Unmanned Aerial Vehicle) technology, moving target detection for aerial video has become a popular research topic in the computer field. Most of the existing methods are under the registration-detection framework and
Externí odkaz:
https://doaj.org/article/d3487dfc78d141ad88cb537388ca07e7
Publikováno v:
International Journal of Advanced Robotic Systems, Vol 10 (2013)
Seeing an object in a cluttered scene with severe occlusion is a significantly challenging task for many computer vision applications. Although camera array synthetic aperture imaging has proven to be an effective way for occluded object imaging, its
Externí odkaz:
https://doaj.org/article/a93e6b599b134372bdacf4eb9894c369
Publikováno v:
2022 4th Asia Energy and Electrical Engineering Symposium (AEEES).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1b05d1959b2e22562d795aee524f953c
https://doi.org/10.1109/aeees54426.2022.9759562
https://doi.org/10.1109/aeees54426.2022.9759562
Publikováno v:
Sensors (Basel, Switzerland)
Sensors
Volume 15
Issue 4
Pages 8214-8231
Sensors, Vol 15, Iss 4, Pp 8214-8231 (2015)
Sensors
Volume 15
Issue 4
Pages 8214-8231
Sensors, Vol 15, Iss 4, Pp 8214-8231 (2015)
With the wide development of UAV (Unmanned Aerial Vehicle) technology, moving target detection for aerial video has become a popular research topic in the computer field. Most of the existing methods are under the registration-detection framework and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bb6c0debe0408ff1aedabcc3cdc16b26
http://europepmc.org/articles/PMC4431192
http://europepmc.org/articles/PMC4431192
Publikováno v:
IEEE Transactions on Circuits and Systems for Video Technology. 23:1461-1475
Robust detection and tracking of multiple people in cluttered and crowded scenes with severe occlusion is a significant challenge for many computer vision applications. In this paper, we present a novel hybrid synthetic aperture imaging model to solv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b0e117dff0ff67e5f69ebbd82497951b
https://doi.org/10.1109/tcsvt.2013.2242553
https://doi.org/10.1109/tcsvt.2013.2242553